Leslie's (LESLQ) Operating Leases (2019 - 2026)
Leslie's (LESLQ) posted Operating Leases of $168.95 million for fiscal Q3 2026 (quarter ended Jul 4, 2026), down 14.4% from $197.38 million a year earlier but up 1.0% from the prior quarter.
Leslie's (LESLQ) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 4, 2025), Leslie's' Operating Leases came in at $185.08 million, down 11.5% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- In prior fiscal years, Leslie's' Operating Leases was $209.07 million in FY2024 (+8.2%), $193.22 million in FY2023 (+7.4%), $179.84 million in FY2022 (+12.4%) and $160.04 million in FY2021 (+22.9%).
- Quarterly Operating Leases has run from a low of $149.82 million in fiscal Q2 2022 to a high of $216.76 million in fiscal Q3 2024 over five years.
- On a year-over-year basis, Operating Leases has declined in each of the last six quarters, with an average decline of 5.5% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q3 2022, with growth of 35.8%; the weakest was fiscal Q3 2026, with a decline of 14.4%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $167.31 million (Q2 2026), $170.62 million (Q1 2026) and $185.08 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn |
| 10 | Leslie's | 655,410.00 | -130.14 Mn | 167.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 168.95 Mn |
| Apr 4, 2026 | 167.31 Mn |
| Jan 3, 2026 | 170.62 Mn |
| Oct 4, 2025 | 185.08 Mn |
| Jun 28, 2025 | 197.38 Mn |
| Mar 29, 2025 | 188.17 Mn |
| Dec 28, 2024 | 197.85 Mn |
| Sep 28, 2024 | 209.07 Mn |
| Jun 29, 2024 | 216.76 Mn |
| Mar 30, 2024 | 193.82 Mn |
| Dec 30, 2023 | 179.41 Mn |
| Sep 30, 2023 | 193.22 Mn |
| Jul 1, 2023 | 193.00 Mn |
| Apr 1, 2023 | 173.53 Mn |
| Dec 31, 2022 | 174.95 Mn |
| Oct 1, 2022 | 179.84 Mn |
| Jul 2, 2022 | 161.47 Mn |
| Apr 2, 2022 | 149.82 Mn |
| Jan 1, 2022 | 153.83 Mn |
| Oct 2, 2021 | 160.04 Mn |
Leslie's Operating Leases API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-leases&ticker=LESLQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "LESLQ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-leases&ticker=LESLQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();